Profile Report

Dataset statistics

Number of variables	28
Number of observations	2240
Missing cells	24
Missing cells (%)	< 0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	490.1 KiB
Average record size in memory	224.1 B

Variable types

Numeric	14
Categorical	12
Text	1
DateTime	1

Alerts

`AcceptedCmp3` is highly imbalanced (62.4%)	Imbalance
`AcceptedCmp4` is highly imbalanced (61.7%)	Imbalance
`AcceptedCmp5` is highly imbalanced (62.4%)	Imbalance
`AcceptedCmp1` is highly imbalanced (65.6%)	Imbalance
`AcceptedCmp2` is highly imbalanced (89.7%)	Imbalance
`Complain` is highly imbalanced (92.3%)	Imbalance
`Income` has 24 (1.1%) missing values	Missing
`ID` has unique values	Unique
`Recency` has 28 (1.2%) zeros	Zeros
`MntFruits` has 400 (17.9%) zeros	Zeros
`MntFishProducts` has 384 (17.1%) zeros	Zeros
`MntSweetProducts` has 419 (18.7%) zeros	Zeros
`MntGoldProds` has 61 (2.7%) zeros	Zeros
`NumDealsPurchases` has 46 (2.1%) zeros	Zeros
`NumWebPurchases` has 49 (2.2%) zeros	Zeros
`NumCatalogPurchases` has 586 (26.2%) zeros	Zeros

Reproduction

Analysis started	2024-04-02 12:08:01.280434
Analysis finished	2024-04-02 12:08:21.382645
Duration	20.1 seconds
Software version	ydata-profiling vv4.7.0
Download configuration	config.json

ID
Real number (ℝ)

UNIQUE

Distinct	2240
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5592.1598

Minimum	0
Maximum	11191
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	576.85
Q1	2828.25
median	5458.5
Q3	8427.75
95-th percentile	10675.05
Maximum	11191
Range	11191
Interquartile range (IQR)	5599.5

Descriptive statistics

Standard deviation	3246.6622
Coefficient of variation (CV)	0.58057393
Kurtosis	-1.190028
Mean	5592.1598
Median Absolute Deviation (MAD)	2791
Skewness	0.039831873
Sum	12526438
Variance	10540815
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1826	1	< 0.1%
5680	1	< 0.1%
4640	1	< 0.1%
2525	1	< 0.1%
9503	1	< 0.1%
10704	1	< 0.1%
2669	1	< 0.1%
10037	1	< 0.1%
3726	1	< 0.1%
10872	1	< 0.1%
Other values (2230)	2230	99.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	1	< 0.1%
9	1	< 0.1%
13	1	< 0.1%
17	1	< 0.1%
20	1	< 0.1%
22	1	< 0.1%
24	1	< 0.1%
25	1	< 0.1%
35	1	< 0.1%

Value	Count	Frequency (%)
11191	1	< 0.1%
11188	1	< 0.1%
11187	1	< 0.1%
11181	1	< 0.1%
11178	1	< 0.1%
11176	1	< 0.1%
11171	1	< 0.1%
11166	1	< 0.1%
11148	1	< 0.1%
11133	1	< 0.1%

Year_Birth
Real number (ℝ)

Distinct	59
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1968.8058

Minimum	1893
Maximum	1996
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	1893
5-th percentile	1950
Q1	1959
median	1970
Q3	1977
95-th percentile	1988
Maximum	1996
Range	103
Interquartile range (IQR)	18

Descriptive statistics

Standard deviation	11.984069
Coefficient of variation (CV)	0.0060869739
Kurtosis	0.71746444
Mean	1968.8058
Median Absolute Deviation (MAD)	9
Skewness	-0.34994386
Sum	4410125
Variance	143.61792
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1976	89	4.0%
1971	87	3.9%
1975	83	3.7%
1972	79	3.5%
1970	77	3.4%
1978	77	3.4%
1965	74	3.3%
1973	74	3.3%
1969	71	3.2%
1974	69	3.1%
Other values (49)	1460	65.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1893	1	< 0.1%
1899	1	< 0.1%
1900	1	< 0.1%
1940	1	< 0.1%
1941	1	< 0.1%
1943	7	0.3%
1944	7	0.3%
1945	8	0.4%
1946	16	0.7%
1947	16	0.7%

Value	Count	Frequency (%)
1996	2	0.1%
1995	5	0.2%
1994	3	0.1%
1993	5	0.2%
1992	13	0.6%
1991	15	0.7%
1990	18	0.8%
1989	30	1.3%
1988	29	1.3%
1987	27	1.2%

Education
Categorical

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

Graduation	1127
PhD	486
Master	370
2n Cycle	203
Basic	54

Length

Max length	10
Median length	10
Mean length	7.51875
Min length	3

Characters and Unicode

Total characters	16842
Distinct characters	22
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Graduation
2nd row	Graduation
3rd row	Graduation
4th row	Graduation
5th row	Graduation

Common Values

Value	Count	Frequency (%)
Graduation	1127	50.3%
PhD	486	21.7%
Master	370	16.5%
2n Cycle	203	9.1%
Basic	54	2.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
graduation	1127	46.1%
phd	486	19.9%
master	370	15.1%
2n	203	8.3%
cycle	203	8.3%
basic	54	2.2%

Most occurring characters

Value	Count	Frequency (%)
a	2678	15.9%
r	1497	8.9%
t	1497	8.9%
n	1330	7.9%
i	1181	7.0%
G	1127	6.7%
d	1127	6.7%
u	1127	6.7%
o	1127	6.7%
e	573	3.4%
Other values (12)	3578	21.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16842	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	2678	15.9%
r	1497	8.9%
t	1497	8.9%
n	1330	7.9%
i	1181	7.0%
G	1127	6.7%
d	1127	6.7%
u	1127	6.7%
o	1127	6.7%
e	573	3.4%
Other values (12)	3578	21.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16842	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	2678	15.9%
r	1497	8.9%
t	1497	8.9%
n	1330	7.9%
i	1181	7.0%
G	1127	6.7%
d	1127	6.7%
u	1127	6.7%
o	1127	6.7%
e	573	3.4%
Other values (12)	3578	21.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16842	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	2678	15.9%
r	1497	8.9%
t	1497	8.9%
n	1330	7.9%
i	1181	7.0%
G	1127	6.7%
d	1127	6.7%
u	1127	6.7%
o	1127	6.7%
e	573	3.4%
Other values (12)	3578	21.2%

Marital_Status
Categorical

Distinct	8
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

Married	864
Together	580
Single	480
Divorced	232
Widow	77
Other values (3)	7

Length

Max length	8
Median length	7
Mean length	7.0732143
Min length	4

Characters and Unicode

Total characters	15844
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Divorced
2nd row	Single
3rd row	Married
4th row	Together
5th row	Single

Common Values

Value	Count	Frequency (%)
Married	864	38.6%
Together	580	25.9%
Single	480	21.4%
Divorced	232	10.4%
Widow	77	3.4%
Alone	3	0.1%
YOLO	2	0.1%
Absurd	2	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
married	864	38.6%
together	580	25.9%
single	480	21.4%
divorced	232	10.4%
widow	77	3.4%
alone	3	0.1%
yolo	2	0.1%
absurd	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	2739	17.3%
r	2542	16.0%
i	1653	10.4%
d	1175	7.4%
g	1060	6.7%
o	892	5.6%
M	864	5.5%
a	864	5.5%
T	580	3.7%
t	580	3.7%
Other values (16)	2895	18.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15844	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2739	17.3%
r	2542	16.0%
i	1653	10.4%
d	1175	7.4%
g	1060	6.7%
o	892	5.6%
M	864	5.5%
a	864	5.5%
T	580	3.7%
t	580	3.7%
Other values (16)	2895	18.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15844	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2739	17.3%
r	2542	16.0%
i	1653	10.4%
d	1175	7.4%
g	1060	6.7%
o	892	5.6%
M	864	5.5%
a	864	5.5%
T	580	3.7%
t	580	3.7%
Other values (16)	2895	18.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15844	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2739	17.3%
r	2542	16.0%
i	1653	10.4%
d	1175	7.4%
g	1060	6.7%
o	892	5.6%
M	864	5.5%
a	864	5.5%
T	580	3.7%
t	580	3.7%
Other values (16)	2895	18.3%

Income
Text

MISSING

Distinct	1974
Distinct (%)	89.1%
Missing	24
Missing (%)	1.1%
Memory size	17.6 KiB

Length

Max length	12
Median length	11
Mean length	10.99278
Min length	10

Characters and Unicode

Total characters	24360
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1756 ?
Unique (%)	79.2%

Sample

1st row	$84,835.00
2nd row	$57,091.00
3rd row	$67,267.00
4th row	$32,474.00
5th row	$21,474.00

Value	Count	Frequency (%)
7,500.00	12	0.5%
35,860.00	4	0.2%
83,844.00	3	0.1%
39,922.00	3	0.1%
67,445.00	3	0.1%
18,690.00	3	0.1%
46,098.00	3	0.1%
18,929.00	3	0.1%
48,432.00	3	0.1%
34,176.00	3	0.1%
Other values (1964)	2176	98.2%

Most occurring characters

Value	Count	Frequency (%)
0	5381	22.1%
$	2216	9.1%
,	2216	9.1%
.	2216	9.1%
	2216	9.1%
3	1244	5.1%
4	1235	5.1%
6	1213	5.0%
5	1204	4.9%
7	1156	4.7%
Other values (4)	4063	16.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24360	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5381	22.1%
$	2216	9.1%
,	2216	9.1%
.	2216	9.1%
	2216	9.1%
3	1244	5.1%
4	1235	5.1%
6	1213	5.0%
5	1204	4.9%
7	1156	4.7%
Other values (4)	4063	16.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24360	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5381	22.1%
$	2216	9.1%
,	2216	9.1%
.	2216	9.1%
	2216	9.1%
3	1244	5.1%
4	1235	5.1%
6	1213	5.0%
5	1204	4.9%
7	1156	4.7%
Other values (4)	4063	16.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24360	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5381	22.1%
$	2216	9.1%
,	2216	9.1%
.	2216	9.1%
	2216	9.1%
3	1244	5.1%
4	1235	5.1%
6	1213	5.0%
5	1204	4.9%
7	1156	4.7%
Other values (4)	4063	16.7%

Kidhome
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	1293
1	899
2	48

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
0	1293	57.7%
1	899	40.1%
2	48	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1293	57.7%
1	899	40.1%
2	48	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	1293	57.7%
1	899	40.1%
2	48	2.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1293	57.7%
1	899	40.1%
2	48	2.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1293	57.7%
1	899	40.1%
2	48	2.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1293	57.7%
1	899	40.1%
2	48	2.1%

Teenhome
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	1158
1	1030
2	52

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	1158	51.7%
1	1030	46.0%
2	52	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1158	51.7%
1	1030	46.0%
2	52	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	1158	51.7%
1	1030	46.0%
2	52	2.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1158	51.7%
1	1030	46.0%
2	52	2.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1158	51.7%
1	1030	46.0%
2	52	2.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1158	51.7%
1	1030	46.0%
2	52	2.3%

Dt_Customer
Date

Distinct	663
Distinct (%)	29.6%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

Minimum	2012-07-30 00:00:00
Maximum	2014-06-29 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

Recency
Real number (ℝ)

ZEROS

Distinct	100
Distinct (%)	4.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	49.109375

Minimum	0
Maximum	99
Zeros	28
Zeros (%)	1.2%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	24
median	49
Q3	74
95-th percentile	94
Maximum	99
Range	99
Interquartile range (IQR)	50

Descriptive statistics

Standard deviation	28.962453
Coefficient of variation (CV)	0.58975405
Kurtosis	-1.2018968
Mean	49.109375
Median Absolute Deviation (MAD)	25
Skewness	-0.0019866586
Sum	110005
Variance	838.82367
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
56	37	1.7%
54	32	1.4%
30	32	1.4%
46	31	1.4%
49	30	1.3%
65	30	1.3%
92	30	1.3%
3	29	1.3%
71	29	1.3%
29	29	1.3%
Other values (90)	1931	86.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	28	1.2%
1	24	1.1%
2	28	1.2%
3	29	1.3%
4	27	1.2%
5	15	0.7%
6	21	0.9%
7	12	0.5%
8	25	1.1%
9	24	1.1%

Value	Count	Frequency (%)
99	17	0.8%
98	22	1.0%
97	20	0.9%
96	25	1.1%
95	19	0.8%
94	26	1.2%
93	21	0.9%
92	30	1.3%
91	18	0.8%
90	20	0.9%

MntWines
Real number (ℝ)

Distinct	776
Distinct (%)	34.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	303.93571

Minimum	0
Maximum	1493
Zeros	13
Zeros (%)	0.6%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	3
Q1	23.75
median	173.5
Q3	504.25
95-th percentile	1000
Maximum	1493
Range	1493
Interquartile range (IQR)	480.5

Descriptive statistics

Standard deviation	336.59739
Coefficient of variation (CV)	1.1074625
Kurtosis	0.59874359
Mean	303.93571
Median Absolute Deviation (MAD)	164.5
Skewness	1.1757706
Sum	680816
Variance	113297.8
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2	42	1.9%
5	40	1.8%
6	37	1.7%
1	37	1.7%
4	33	1.5%
3	30	1.3%
8	30	1.3%
9	28	1.2%
12	25	1.1%
14	24	1.1%
Other values (766)	1914	85.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	13	0.6%
1	37	1.7%
2	42	1.9%
3	30	1.3%
4	33	1.5%
5	40	1.8%
6	37	1.7%
7	22	1.0%
8	30	1.3%
9	28	1.2%

Value	Count	Frequency (%)
1493	1	< 0.1%
1492	2	0.1%
1486	1	< 0.1%
1478	2	0.1%
1462	1	< 0.1%
1459	1	< 0.1%
1449	1	< 0.1%
1396	1	< 0.1%
1394	1	< 0.1%
1379	1	< 0.1%

MntFruits
Real number (ℝ)

ZEROS

Distinct	158
Distinct (%)	7.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.302232

Minimum	0
Maximum	199
Zeros	400
Zeros (%)	17.9%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	8
Q3	33
95-th percentile	123
Maximum	199
Range	199
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	39.773434
Coefficient of variation (CV)	1.5121695
Kurtosis	4.0509763
Mean	26.302232
Median Absolute Deviation (MAD)	8
Skewness	2.1020633
Sum	58917
Variance	1581.926
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	400	17.9%
1	162	7.2%
2	120	5.4%
3	116	5.2%
4	104	4.6%
7	67	3.0%
5	65	2.9%
6	62	2.8%
12	50	2.2%
8	48	2.1%
Other values (148)	1046	46.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	400	17.9%
1	162	7.2%
2	120	5.4%
3	116	5.2%
4	104	4.6%
5	65	2.9%
6	62	2.8%
7	67	3.0%
8	48	2.1%
9	35	1.6%

Value	Count	Frequency (%)
199	2	0.1%
197	1	< 0.1%
194	3	0.1%
193	2	0.1%
190	1	< 0.1%
189	1	< 0.1%
185	2	0.1%
184	1	< 0.1%
183	3	0.1%
181	1	< 0.1%

MntMeatProducts
Real number (ℝ)

Distinct	558
Distinct (%)	24.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	166.95

Minimum	0
Maximum	1725
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	16
median	67
Q3	232
95-th percentile	687.1
Maximum	1725
Range	1725
Interquartile range (IQR)	216

Descriptive statistics

Standard deviation	225.71537
Coefficient of variation (CV)	1.3519938
Kurtosis	5.5167241
Mean	166.95
Median Absolute Deviation (MAD)	59
Skewness	2.0832331
Sum	373968
Variance	50947.429
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7	53	2.4%
5	50	2.2%
11	49	2.2%
8	46	2.1%
6	43	1.9%
10	40	1.8%
3	40	1.8%
9	38	1.7%
16	36	1.6%
12	35	1.6%
Other values (548)	1810	80.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	14	0.6%
2	30	1.3%
3	40	1.8%
4	30	1.3%
5	50	2.2%
6	43	1.9%
7	53	2.4%
8	46	2.1%
9	38	1.7%

Value	Count	Frequency (%)
1725	2	0.1%
1622	1	< 0.1%
1607	1	< 0.1%
1582	1	< 0.1%
984	1	< 0.1%
981	1	< 0.1%
974	1	< 0.1%
968	1	< 0.1%
961	1	< 0.1%
951	2	0.1%

MntFishProducts
Real number (ℝ)

ZEROS

Distinct	182
Distinct (%)	8.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37.525446

Minimum	0
Maximum	259
Zeros	384
Zeros (%)	17.1%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	12
Q3	50
95-th percentile	168.05
Maximum	259
Range	259
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	54.628979
Coefficient of variation (CV)	1.4557849
Kurtosis	3.0964609
Mean	37.525446
Median Absolute Deviation (MAD)	12
Skewness	1.919769
Sum	84057
Variance	2984.3254
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	384	17.1%
2	156	7.0%
3	130	5.8%
4	108	4.8%
6	82	3.7%
7	66	2.9%
8	58	2.6%
10	55	2.5%
13	48	2.1%
12	47	2.1%
Other values (172)	1106	49.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	384	17.1%
1	10	0.4%
2	156	7.0%
3	130	5.8%
4	108	4.8%
5	1	< 0.1%
6	82	3.7%
7	66	2.9%
8	58	2.6%
10	55	2.5%

Value	Count	Frequency (%)
259	1	< 0.1%
258	3	0.1%
254	1	< 0.1%
253	1	< 0.1%
250	3	0.1%
247	1	< 0.1%
246	1	< 0.1%
242	1	< 0.1%
240	2	0.1%
237	2	0.1%

MntSweetProducts
Real number (ℝ)

ZEROS

Distinct	177
Distinct (%)	7.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27.062946

Minimum	0
Maximum	263
Zeros	419
Zeros (%)	18.7%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	8
Q3	33
95-th percentile	126
Maximum	263
Range	263
Interquartile range (IQR)	32

Descriptive statistics

Standard deviation	41.280498
Coefficient of variation (CV)	1.5253512
Kurtosis	4.3765483
Mean	27.062946
Median Absolute Deviation (MAD)	8
Skewness	2.1360807
Sum	60621
Variance	1704.0796
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	419	18.7%
1	161	7.2%
2	128	5.7%
3	101	4.5%
4	82	3.7%
5	65	2.9%
6	64	2.9%
7	57	2.5%
8	56	2.5%
12	45	2.0%
Other values (167)	1062	47.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	419	18.7%
1	161	7.2%
2	128	5.7%
3	101	4.5%
4	82	3.7%
5	65	2.9%
6	64	2.9%
7	57	2.5%
8	56	2.5%
9	42	1.9%

Value	Count	Frequency (%)
263	1	< 0.1%
262	1	< 0.1%
198	1	< 0.1%
197	1	< 0.1%
196	1	< 0.1%
195	1	< 0.1%
194	3	0.1%
192	3	0.1%
191	1	< 0.1%
189	2	0.1%

MntGoldProds
Real number (ℝ)

ZEROS

Distinct	213
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.021875

Minimum	0
Maximum	362
Zeros	61
Zeros (%)	2.7%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	9
median	24
Q3	56
95-th percentile	165.05
Maximum	362
Range	362
Interquartile range (IQR)	47

Descriptive statistics

Standard deviation	52.167439
Coefficient of variation (CV)	1.1850345
Kurtosis	3.5517093
Mean	44.021875
Median Absolute Deviation (MAD)	18
Skewness	1.8861056
Sum	98609
Variance	2721.4417
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	73	3.3%
4	70	3.1%
3	69	3.1%
5	63	2.8%
12	63	2.8%
2	62	2.8%
0	61	2.7%
6	57	2.5%
7	54	2.4%
10	49	2.2%
Other values (203)	1619	72.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	61	2.7%
1	73	3.3%
2	62	2.8%
3	69	3.1%
4	70	3.1%
5	63	2.8%
6	57	2.5%
7	54	2.4%
8	40	1.8%
9	44	2.0%

Value	Count	Frequency (%)
362	1	< 0.1%
321	1	< 0.1%
291	1	< 0.1%
262	1	< 0.1%
249	1	< 0.1%
248	1	< 0.1%
247	1	< 0.1%
246	1	< 0.1%
245	1	< 0.1%
242	2	0.1%

NumDealsPurchases
Real number (ℝ)

ZEROS

Distinct	15
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.325

Minimum	0
Maximum	15
Zeros	46
Zeros (%)	2.1%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	6
Maximum	15
Range	15
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9322375
Coefficient of variation (CV)	0.83106989
Kurtosis	8.9369143
Mean	2.325
Median Absolute Deviation (MAD)	1
Skewness	2.4185694
Sum	5208
Variance	3.7335418
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
1	970	43.3%
2	497	22.2%
3	297	13.3%
4	189	8.4%
5	94	4.2%
6	61	2.7%
0	46	2.1%
7	40	1.8%
8	14	0.6%
9	8	0.4%
Other values (5)	24	1.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	46	2.1%
1	970	43.3%
2	497	22.2%
3	297	13.3%
4	189	8.4%
5	94	4.2%
6	61	2.7%
7	40	1.8%
8	14	0.6%
9	8	0.4%

Value	Count	Frequency (%)
15	7	0.3%
13	3	0.1%
12	4	0.2%
11	5	0.2%
10	5	0.2%
9	8	0.4%
8	14	0.6%
7	40	1.8%
6	61	2.7%
5	94	4.2%

NumWebPurchases
Real number (ℝ)

ZEROS

Distinct	15
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.0848214

Minimum	0
Maximum	27
Zeros	49
Zeros (%)	2.2%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	4
Q3	6
95-th percentile	9
Maximum	27
Range	27
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.7787141
Coefficient of variation (CV)	0.68025352
Kurtosis	5.7031284
Mean	4.0848214
Median Absolute Deviation (MAD)	2
Skewness	1.3827943
Sum	9150
Variance	7.7212523
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
2	373	16.7%
1	354	15.8%
3	336	15.0%
4	280	12.5%
5	220	9.8%
6	205	9.2%
7	155	6.9%
8	102	4.6%
9	75	3.3%
0	49	2.2%
Other values (5)	91	4.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	49	2.2%
1	354	15.8%
2	373	16.7%
3	336	15.0%
4	280	12.5%
5	220	9.8%
6	205	9.2%
7	155	6.9%
8	102	4.6%
9	75	3.3%

Value	Count	Frequency (%)
27	2	0.1%
25	1	< 0.1%
23	1	< 0.1%
11	44	2.0%
10	43	1.9%
9	75	3.3%
8	102	4.6%
7	155	6.9%
6	205	9.2%
5	220	9.8%

NumCatalogPurchases
Real number (ℝ)

ZEROS

Distinct	14
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.6620536

Minimum	0
Maximum	28
Zeros	586
Zeros (%)	26.2%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	4
95-th percentile	9
Maximum	28
Range	28
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.9231007
Coefficient of variation (CV)	1.0980623
Kurtosis	8.0474368
Mean	2.6620536
Median Absolute Deviation (MAD)	2
Skewness	1.8809888
Sum	5963
Variance	8.5445174
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
0	586	26.2%
1	497	22.2%
2	276	12.3%
3	184	8.2%
4	182	8.1%
5	140	6.2%
6	128	5.7%
7	79	3.5%
8	55	2.5%
10	48	2.1%
Other values (4)	65	2.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	586	26.2%
1	497	22.2%
2	276	12.3%
3	184	8.2%
4	182	8.1%
5	140	6.2%
6	128	5.7%
7	79	3.5%
8	55	2.5%
9	42	1.9%

Value	Count	Frequency (%)
28	3	0.1%
22	1	< 0.1%
11	19	0.8%
10	48	2.1%
9	42	1.9%
8	55	2.5%
7	79	3.5%
6	128	5.7%
5	140	6.2%
4	182	8.1%

NumStorePurchases
Real number (ℝ)

Distinct	14
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.7901786

Minimum	0
Maximum	13
Zeros	15
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	3
median	5
Q3	8
95-th percentile	12
Maximum	13
Range	13
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.2509581
Coefficient of variation (CV)	0.56146077
Kurtosis	-0.62204828
Mean	5.7901786
Median Absolute Deviation (MAD)	2
Skewness	0.70223729
Sum	12970
Variance	10.568729
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=14)

Value	Count	Frequency (%)
3	490	21.9%
4	323	14.4%
2	223	10.0%
5	212	9.5%
6	178	7.9%
8	149	6.7%
7	143	6.4%
10	125	5.6%
9	106	4.7%
12	105	4.7%
Other values (4)	186	8.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	15	0.7%
1	7	0.3%
2	223	10.0%
3	490	21.9%
4	323	14.4%
5	212	9.5%
6	178	7.9%
7	143	6.4%
8	149	6.7%
9	106	4.7%

Value	Count	Frequency (%)
13	83	3.7%
12	105	4.7%
11	81	3.6%
10	125	5.6%
9	106	4.7%
8	149	6.7%
7	143	6.4%
6	178	7.9%
5	212	9.5%
4	323	14.4%

NumWebVisitsMonth
Real number (ℝ)

Distinct	16
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.3165179

Minimum	0
Maximum	20
Zeros	11
Zeros (%)	0.5%
Negative	0
Negative (%)	0.0%
Memory size	17.6 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	3
median	6
Q3	7
95-th percentile	8
Maximum	20
Range	20
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.426645
Coefficient of variation (CV)	0.45643503
Kurtosis	1.8216138
Mean	5.3165179
Median Absolute Deviation (MAD)	2
Skewness	0.20792556
Sum	11909
Variance	5.888606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
7	393	17.5%
8	342	15.3%
6	340	15.2%
5	281	12.5%
4	218	9.7%
3	205	9.2%
2	202	9.0%
1	153	6.8%
9	83	3.7%
0	11	0.5%
Other values (6)	12	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	11	0.5%
1	153	6.8%
2	202	9.0%
3	205	9.2%
4	218	9.7%
5	281	12.5%
6	340	15.2%
7	393	17.5%
8	342	15.3%
9	83	3.7%

Value	Count	Frequency (%)
20	3	0.1%
19	2	0.1%
17	1	< 0.1%
14	2	0.1%
13	1	< 0.1%
10	3	0.1%
9	83	3.7%
8	342	15.3%
7	393	17.5%
6	340	15.2%

AcceptedCmp3
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	2077
1	163

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring characters

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

AcceptedCmp4
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	2073
1	167

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2073	92.5%
1	167	7.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2073	92.5%
1	167	7.5%

Most occurring characters

Value	Count	Frequency (%)
0	2073	92.5%
1	167	7.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2073	92.5%
1	167	7.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2073	92.5%
1	167	7.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2073	92.5%
1	167	7.5%

AcceptedCmp5
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	2077
1	163

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring characters

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2077	92.7%
1	163	7.3%

AcceptedCmp1
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	2096
1	144

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2096	93.6%
1	144	6.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2096	93.6%
1	144	6.4%

Most occurring characters

Value	Count	Frequency (%)
0	2096	93.6%
1	144	6.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2096	93.6%
1	144	6.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2096	93.6%
1	144	6.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2096	93.6%
1	144	6.4%

AcceptedCmp2
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	2210
1	30

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2210	98.7%
1	30	1.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2210	98.7%
1	30	1.3%

Most occurring characters

Value	Count	Frequency (%)
0	2210	98.7%
1	30	1.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2210	98.7%
1	30	1.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2210	98.7%
1	30	1.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2210	98.7%
1	30	1.3%

Response
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	1906
1	334

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	0
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	1906	85.1%
1	334	14.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	1906	85.1%
1	334	14.9%

Most occurring characters

Value	Count	Frequency (%)
0	1906	85.1%
1	334	14.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1906	85.1%
1	334	14.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1906	85.1%
1	334	14.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1906	85.1%
1	334	14.9%

Complain
Categorical

IMBALANCE

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

0	2219
1	21

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	2219	99.1%
1	21	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2219	99.1%
1	21	0.9%

Most occurring characters

Value	Count	Frequency (%)
0	2219	99.1%
1	21	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2219	99.1%
1	21	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2219	99.1%
1	21	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2240	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2219	99.1%
1	21	0.9%

Country
Categorical

Distinct	8
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	17.6 KiB

SP	1095
SA	337
CA	268
AUS	160
IND	148
Other values (3)	232

Length

Max length	3
Median length	2
Mean length	2.1910714
Min length	2

Characters and Unicode

Total characters	4908
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	SP
2nd row	CA
3rd row	US
4th row	AUS
5th row	SP

Common Values

Value	Count	Frequency (%)
SP	1095	48.9%
SA	337	15.0%
CA	268	12.0%
AUS	160	7.1%
IND	148	6.6%
GER	120	5.4%
US	109	4.9%
ME	3	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sp	1095	48.9%
sa	337	15.0%
ca	268	12.0%
aus	160	7.1%
ind	148	6.6%
ger	120	5.4%
us	109	4.9%
me	3	0.1%

Most occurring characters

Value	Count	Frequency (%)
S	1701	34.7%
P	1095	22.3%
A	765	15.6%
U	269	5.5%
C	268	5.5%
I	148	3.0%
N	148	3.0%
D	148	3.0%
E	123	2.5%
G	120	2.4%
Other values (2)	123	2.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4908	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	1701	34.7%
P	1095	22.3%
A	765	15.6%
U	269	5.5%
C	268	5.5%
I	148	3.0%
N	148	3.0%
D	148	3.0%
E	123	2.5%
G	120	2.4%
Other values (2)	123	2.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4908	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	1701	34.7%
P	1095	22.3%
A	765	15.6%
U	269	5.5%
C	268	5.5%
I	148	3.0%
N	148	3.0%
D	148	3.0%
E	123	2.5%
G	120	2.4%
Other values (2)	123	2.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4908	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	1701	34.7%
P	1095	22.3%
A	765	15.6%
U	269	5.5%
C	268	5.5%
I	148	3.0%
N	148	3.0%
D	148	3.0%
E	123	2.5%
G	120	2.4%
Other values (2)	123	2.5%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	ID	Year_Birth	Education	Marital_Status	Income	Kidhome	Teenhome	Dt_Customer	MntWines	MntFruits	MntMeatProducts	MntFishProducts	MntSweetProducts	MntGoldProds	NumDealsPurchases	NumWebPurchases	NumCatalogPurchases	NumStorePurchases	NumWebVisitsMonth	AcceptedCmp3	AcceptedCmp2	Response	Country
0	1826	1970	Graduation	Divorced	$84,835.00	0	0	6/16/14	189	104	379	111	189	218	1	4	4	6	1	0	0	1	SP
1	1	1961	Graduation	Single	$57,091.00	0	0	6/15/14	464	5	64	7	0	37	1	7	3	7	5	0	1	1	CA
2	10476	1958	Graduation	Married	$67,267.00	0	1	5/13/14	134	11	59	15	2	30	1	3	2	5	2	0	0	0	US
3	1386	1967	Graduation	Together	$32,474.00	1	1	5/11/14	10	0	1	0	0	0	1	1	0	2	7	0	0	0	AUS
4	5371	1989	Graduation	Single	$21,474.00	1	0	4/8/14	6	16	24	11	0	34	2	3	1	2	7	1	0	1	SP
5	7348	1958	PhD	Single	$71,691.00	0	0	3/17/14	336	130	411	240	32	43	1	4	7	5	2	0	0	1	SP
6	4073	1954	2n Cycle	Married	$63,564.00	0	0	1/29/14	769	80	252	15	34	65	1	10	10	7	6	1	0	1	GER
7	1991	1967	Graduation	Together	$44,931.00	0	1	1/18/14	78	0	11	0	0	7	1	2	1	3	5	0	0	0	SP
8	4047	1954	PhD	Married	$65,324.00	0	1	1/11/14	384	0	102	21	32	5	3	6	2	9	4	0	0	0	US
9	9477	1954	PhD	Married	$65,324.00	0	1	1/11/14	384	0	102	21	32	5	3	6	2	9	4	0	0	0	IND

	ID	Year_Birth	Education	Marital_Status	Income	Kidhome	Teenhome	Dt_Customer	Recency	MntWines	MntFruits	MntMeatProducts	MntFishProducts	MntSweetProducts	MntGoldProds	NumDealsPurchases	NumWebPurchases	NumCatalogPurchases	NumStorePurchases	NumWebVisitsMonth	AcceptedCmp4	AcceptedCmp5	Response	Complain	Country
2230	3363	1974	2n Cycle	Married	$20,130.00	0	0	3/17/14	99	0	6	3	7	6	12	1	1	0	3	8	0	0	0	0	SP
2231	8595	1973	Graduation	Widow	$42,429.00	0	1	2/11/14	99	55	0	6	2	0	4	2	1	1	3	5	0	0	0	0	AUS
2232	7232	1973	Graduation	Widow	$42,429.00	0	1	2/11/14	99	55	0	6	2	0	4	2	1	1	3	5	0	0	0	0	SP
2233	7829	1900	2n Cycle	Divorced	$36,640.00	1	0	9/26/13	99	15	6	8	7	4	25	1	2	1	2	5	0	0	0	1	IND
2234	9977	1973	Graduation	Divorced	$78,901.00	0	1	9/17/13	99	321	11	309	33	26	34	3	9	3	5	4	0	0	0	0	US
2235	10142	1976	PhD	Divorced	$66,476.00	0	1	3/7/13	99	372	18	126	47	48	78	2	5	2	11	4	0	0	0	0	US
2236	5263	1977	2n Cycle	Married	$31,056.00	1	0	1/22/13	99	5	10	13	3	8	16	1	1	0	3	8	0	0	0	0	SP
2237	22	1976	Graduation	Divorced	$46,310.00	1	0	12/3/12	99	185	2	88	15	5	14	2	6	1	5	8	0	0	0	0	SP
2238	528	1978	Graduation	Married	$65,819.00	0	0	11/29/12	99	267	38	701	149	165	63	1	5	4	10	3	0	0	0	0	IND
2239	4070	1969	PhD	Married	$94,871.00	0	2	9/1/12	99	169	24	553	188	0	144	1	8	5	4	7	1	1	1	0	CA

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)